Two-way sync
Changes in Apache Cassandra or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and RingCentral in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers reach communications tools like RingCentral through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in Apache Cassandra next to everything else.
Stacksync mirrors Extensions (Users), Contacts (Address Book), RingOut (Click-to-call), Team Messaging (Chat) from RingCentral into Tables, Partitions and Rows, Materialized Views, Secondary Indexes in Apache Cassandra and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into RingCentral so the tool and the database never disagree.
There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.
Every message, call, or event RingCentral records becomes rows in Apache Cassandra, ready to query, join with your own data, and report on without touching the vendor API.
Write a row to a synced table in Apache Cassandra and Stacksync propagates it into RingCentral, so your code sends the message, places the call, or schedules the meeting without integration glue.
Recipients and contacts stay consistent between RingCentral and Apache Cassandra, so a phone number or email corrected on either side is current the next time either system uses it.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Apache Cassandra objects | RingCentral objects | How this pairing syncs | |
|---|---|---|---|
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Call Log Call detail records with direction, result, duration, from/to numbers, and recording references, from the account-wide and per-extension call-log endpoints, filtered by dateFrom/dateTo. Read-only records. | Partitions and Rows is specific to Apache Cassandra and Call Log to RingCentral — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Extensions (Users) User extensions with profile, status, roles, and assigned phone numbers via the Configuration API; create, update, and disable extensions to provision or deprovision users and map them to CRM, HR, or directory identities. Read and write. | Materialized Views is specific to Apache Cassandra and Extensions (Users) to RingCentral — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Contacts (Address Book) Personal address-book contacts per extension with full CRUD via POST/PUT/DELETE /address-book/contact; the company directory has no create endpoint and is read-only, so only personal contacts are writable. Read and write. | Secondary Indexes is specific to Apache Cassandra and Contacts (Address Book) to RingCentral — each maps to any object or custom field on the other side. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | RingOut (Click-to-call) Two-legged calls placed programmatically via POST /account/~/extension/~/ring-out, with status polled via GET and calls cancelled via DELETE; a write/action path for click-to-dial from a CRM or internal app. Write. | User-Defined Types is specific to Apache Cassandra and RingOut (Click-to-call) to RingCentral — each maps to any object or custom field on the other side. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Team Messaging (Chat) RingCentral team-messaging chats, teams, and posts (formerly Glip); read conversations and create posts, create teams, and add or remove members to mirror org structure. Read and write. | Collections is specific to Apache Cassandra and Team Messaging (Chat) to RingCentral — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Presence Real-time presence and detailed telephony state per extension, read via GET presence and subscribed to for live updates, used to reflect agent availability and call status across systems. Read-only. | Counters is specific to Apache Cassandra and Presence to RingCentral — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryEach detected change is written to RingCentral through its API, with automatic retries and rate-limit backoff.
DetectionRingCentral notifies Stacksync of record changes through webhook events. Subscription API webhooks (with a validation-token echo handshake) or WebSocket subscriptions on eventFilters such as message-store/instant,.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–RingCentral connection.
Changes in Apache Cassandra or RingCentral instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or RingCentral data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or RingCentral record.
Track your Apache Cassandra ⇄ RingCentral sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and RingCentral.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Apache Cassandra and RingCentral with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Apache Cassandra and RingCentral objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Cassandra and RingCentral: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Partitions and Rows and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Cassandra and RingCentral records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and RingCentral connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–RingCentral integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and RingCentral. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On RingCentral: Subscription API webhooks (with a validation-token echo handshake) or WebSocket subscriptions on eventFilters such as message-store/instant, presence, and telephony/sessions; historical pulls poll message-store and call-log on dateFrom/dateTo. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the RingCentral side: Extensions (Users), Contacts (Address Book), RingOut (Click-to-call), Team Messaging (Chat), plus custom fields where RingCentral exposes them. On the Apache Cassandra side: Tables, Partitions and Rows, Materialized Views, Secondary Indexes. Stacksync auto-detects both schemas and converts types between the two systems.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 334 integrations available for Apache Cassandra and RingCentral.